Longitudinal structural equation modeling / [Book] Todd D. Little ; foreword by Noel A. Card.

By:

Little, Todd D

Contributor(s):

Card, Noel A

Material type: Text

TextSeries: Methodology in the social sciencesPublisher: New York : The Guilford Press, 2013Description: xxii, 386 pages : illustratios ; 27 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781462510160 (hardback)

Subject(s):

DDC classification:

001.433 23

Other classification:

001.433

Summary: Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from measurement, design, and specification issues to model evaluation and interpretation. Covering both big-picture ideas and technical "how-to-do-it" details, the author deftly walks through when and how to use longitudinal confirmatory factor analysis, longitudinal panel models (including the multiple-group case), multilevel models, growth curve models, and complex factor models, as well as models for mediation and moderation. User-friendly features include equation boxes that clearly explain the elements in every equation, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website (www.guilford.com/little-materials) provides datasets for all of the examples--which include studies of bullying, adolescent students' emotions, and healthy aging--with syntax and output from LISREL, Mplus, and R (lavaan).

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	Junaid Zaidi Library, COMSATS University Islamabad	001.433 LIT-L (Browse shelf(Opens below))	Checked out	08/21/2023	57582

Total holds: 0

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Previous	001.433 GIL-R Research interviewing the range of techniques /	001.433 HAN Handbook of research on electronic surveys and measurements	001.433 LEH-P Practical methods for design and analysis of complex surveys	001.433 LIT-L Longitudinal structural equation modeling /	001.433 PUN-S Survey research the basics /	001.433 RUE-P The practice of survey research : theory and applications /	001.434 COX-T The theory of the design of experiments	Next

Includes bibliographical references (pages 355-366) and index.

Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from measurement, design, and specification issues to model evaluation and interpretation. Covering both big-picture ideas and technical "how-to-do-it" details, the author deftly walks through when and how to use longitudinal confirmatory factor analysis, longitudinal panel models (including the multiple-group case), multilevel models, growth curve models, and complex factor models, as well as models for mediation and moderation. User-friendly features include equation boxes that clearly explain the elements in every equation, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website (www.guilford.com/little-materials) provides datasets for all of the examples--which include studies of bullying, adolescent students' emotions, and healthy aging--with syntax and output from LISREL, Mplus, and R (lavaan).

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